Data Management, GIS and Analytics Officer - Pemcoa Foundation

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Pemcoa Foundation is a registered Ghanaian non-governmental organisation committed to building inclusive, resilient, and sustainable communities where every person has the opportunity to thrive. The Foundation works with children, women, youth, persons with disabilities, marginalized groups, and vulnerable households to promote equal opportunities, improve livelihoods, and strengthen community resilience.

Pemcoa Foundation’s work focuses on sustainable agriculture, food security, environmental resilience, climate action, clean energy, crisis response, health, education, child protection, women’s economic empowerment, gender equality, and social inclusion.

Through partnerships with communities, civil society organisations, government institutions, traditional authorities, private sector actors, and development partners, Pemcoa Foundation designs and implements practical, community-driven programmes that address poverty, inequality, exclusion, and environmental vulnerability.

Position Summary

Pemcoa Foundation is seeking to recruit a competent, analytical, and technically strong Data Management, GIS and Analytics Officer to lead the management of digital data systems, GIS-enabled reporting, Management Information Systems, data quality assurance, and evidence management.

The role will be based in Wa, with field travel across districts when required. The successful candidate will be responsible for configuring and managing digital data collection tools, supporting field teams to collect high-quality data, conducting data quality checks, managing geo-referenced datasets, producing dashboards and analytical summaries, and ensuring that all data and evidence generated through field implementation are accurate, complete, secure, and ready for reporting and validation.

This is a technical role requiring strong attention to detail, excellent digital skills, practical field orientation, and the ability to work closely with programme, field, monitoring, and management teams.

Working tools: Pemcoa will provide access to required platforms and project-approved data collection tools. Applicants should have access to a laptop suitable for data analysis and reporting. Field devices will be provided where required, subject to deployment plans.

Role Purpose

The Data Management, GIS and Analytics Officer will own Pemcoa’s digital field systems and data integrity. This includes configuration and management of data collection tools, database management, geo-referencing and GIS analysis, dashboards and analytics, data quality assurance workflows, secure exports, and controlled access to sensitive data. The role provides technical support to the MEL function on dashboards and analysis while maintaining a clear mandate for systems and data governance.

Key Responsibilities

1. Digital Data Systems and Tool Management

• The Data Management, GIS and Analytics Officer will configure, test, manage, and maintain digital data collection tools for field activities. This will include developing and updating electronic forms, setting up skip patterns, validation rules, consent sections, GPS capture fields, enumerator identifiers, district and community codes, and quality control features.
• The role holder will manage data collection platforms such as KoBoToolbox, ODK, CommCare, SurveyCTO, Microsoft Forms, Google Forms, or similar systems, depending on organisational requirements. The Officer will also support the development of Standard Operating Procedures for data collection, tool use, data synchronisation, data export, device handling, and secure data storage.

2. Field Team Training and Technical Support

• The successful candidate will train field staff, district teams, enumerators, supervisors, and relevant programme staff on the use of digital data collection tools. Training will cover practical tool navigation, informed consent procedures, GPS capture, accurate data entry, synchronisation protocols, troubleshooting, device management, data protection, and ethical field data collection.
• The Data Management, GIS and Analytics Officer will provide ongoing technical backstopping to field teams before, during, and after data collection. This includes resolving tool errors, monitoring submission patterns, supporting field supervisors, and ensuring that data collection challenges are addressed quickly.

3. Data Quality Assurance and Cleaning

• The role holder will lead data quality assurance processes to ensure that all data collected are complete, consistent, accurate, and reliable. This will include running completeness checks, logic checks, range checks, duplicate detection, skip-pattern reviews, GPS verification, missing value checks, outlier analysis, and consistency checks across datasets.
• The Officer will maintain data quality logs, flag errors for correction, provide feedback to field teams, and support corrective actions where data quality gaps are identified. The role will require close coordination with field supervisors and programme teams to ensure that data issues are resolved in a timely and transparent manner.

4. GIS Mapping and Geo-Referenced Reporting

• The Data Management, GIS and Analytics Officer will manage geo-referenced data and support the production of maps and spatial analysis for planning, monitoring, reporting, and validation. This will include managing GPS coordinates, checking coordinate accuracy, mapping communities and activity locations, and producing GIS outputs that support field implementation and management decision-making.
• The Officer may be required to use GIS tools such as QGIS, ArcGIS, Google Earth Pro, Kobo Map View, Power BI maps, or other relevant mapping platforms to visualise field coverage, community locations, service points, demonstration sites, stakeholder distribution, and implementation progress.

5. MIS, Dashboards, and Performance Analytics

• The role holder will support the development and maintenance of simple but effective Management Information Systems for tracking field activities, outputs, beneficiaries, community engagement, training participation, demonstration activities, stakeholder meetings, and implementation progress.
• The Officer will produce dashboards, data summaries, performance analytics, charts, tables, maps, and visual reports for internal management, programme reviews, donor reporting, and validation meetings. This will include using tools such as Microsoft Excel, Power BI, Google Looker Studio, Tableau, or other relevant platforms.

6. Data Security, Storage, and Access Control

• The Data Management, GIS and Analytics Officer will ensure that all data are securely stored, properly backed up, and accessed only by authorised personnel. The role holder will support controlled data exports, password protection, folder management, device controls, version control, and safe handling of personally identifiable information.
• The Officer will ensure compliance with ethical data management principles, including informed consent, confidentiality, responsible data sharing, and protection of sensitive community and participant information.

7. Evidence Management and Reporting Support

• The successful candidate will support the generation of clean datasets, evidence packages, verification materials, and reporting inputs. This will include organising attendance lists, digital submissions, GPS data, photographs, field evidence, community records, activity tracking sheets, and other supporting documentation.
• The Officer will work with programme and field teams to ensure that evidence submitted for reporting, validation, and management review is complete, properly labelled, verifiable, and aligned with implementation records.

8. Collaboration with Field and Management Teams

• The Data Management, GIS and Analytics Officer will work closely with field teams, district coordinators, agriculture leads, monitoring and evaluation staff, safeguarding and inclusion focal persons, and management to strengthen data quality and evidence use.
• The role holder will participate in planning meetings, field reviews, data review sessions, validation preparation, and learning discussions. The Officer will be expected to translate data into practical insights that support decision-making and improve implementation quality.

Required Skills or Experience

Qualifications and Experience

Applicants must have:

• A Bachelor’s degree or higher in Statistics, GIS, Computer Science, Information Systems, Data Science, Monitoring and Evaluation, Development Studies, Geography, Planning, or a related field.
• At least five years of relevant professional experience in digital data management, GIS, MIS, monitoring and evaluation, field data systems, or development programme data support.
• Strong practical experience configuring and managing digital data collection tools such as KoBoToolbox, ODK, SurveyCTO, CommCare, or similar platforms.
• Demonstrated experience conducting data cleaning, data quality assurance, data validation, and database management.
• Strong skills in Microsoft Excel, including formulas, pivot tables, data cleaning, data validation, charts, and structured datasets.
• Experience using Power BI, Tableau, Google Looker Studio, or similar dashboard and data visualisation tools.
• Practical knowledge of GIS tools such as QGIS, ArcGIS, Google Earth Pro, or other mapping platforms.
• Experience supporting field teams, enumerators, or district staff in digital data collection.
• Good understanding of informed consent, data protection, confidentiality, and ethical handling of participant data.
• Strong analytical, problem-solving, documentation, and reporting skills.
• Excellent written and spoken English.
• Ability and willingness to travel to districts and communities within the Upper West Region when required.

Competencies

The ideal candidate should demonstrate:

• Strong attention to detail and commitment to data accuracy.
• Ability to manage multiple datasets and digital tools at the same time.
• Strong analytical thinking and ability to identify data quality issues quickly.
• Practical understanding of field realities and community-level data collection.
• Ability to train and support non-technical field teams in the use of digital tools.
• Strong skills in data visualisation, dashboard development, and evidence presentation.
• High level of integrity, confidentiality, and professionalism.
• Ability to work under pressure and meet reporting deadlines.
• Strong communication and teamwork skills.
• Good understanding of gender equality, social inclusion, safeguarding, and responsible data management.

Language

• Ability to communicate in at least one Upper West Region language will be an added advantage, for example Dagaare, Waali, Sissali, Birifor or Lobi.

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